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Average Ratings 0 Ratings
Description
Avalor’s data fabric enables security teams to expedite their decision-making processes while enhancing accuracy. Our architecture seamlessly combines various data sources, such as legacy systems, data lakes, data warehouses, SQL databases, and applications, to deliver a comprehensive perspective on business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all driven by the capabilities of the data fabric. Security operations gain from swift, dependable, and precise evaluations of enterprise data, encompassing areas like asset coverage, compliance reporting, ROSI analysis, and vulnerability management, among others. Typically, security teams navigate through a multitude of specialized tools and products, each serving different purposes and generating unique outputs. This overwhelming diversity in data can complicate efforts to prioritize tasks and identify where problems exist. In order to respond promptly and accurately to business inquiries, it is essential to leverage data from throughout the organization effectively. By consolidating insights, teams can focus on critical issues and enhance overall security posture.
Description
The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apiiro
Datadog
Datamatics Trade Finance
Exabeam
Google Sheets
IBM Control Desk
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM WebSphere Commerce
Integrations
Amazon Web Services (AWS)
Apiiro
Datadog
Datamatics Trade Finance
Exabeam
Google Sheets
IBM Control Desk
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM WebSphere Commerce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$699 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Avalor
Website
www.avalor.io
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/cloud-pak-for-data
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Vulnerability Management
Asset Discovery
Asset Tagging
Network Scanning
Patch Management
Policy Management
Prioritization
Risk Management
Vulnerability Assessment
Web Scanning
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis